Top Data Science Jobs in Seattle, WA
Seeking a Staff Data Scientist to analyze user behaviors, develop personalized segmentation strategies, track acquisition trends, and collaborate with cross-functional teams. Must have 8-10+ years of experience using analytics to drive key business decisions and a background in statistical analysis, experimentation design, and multivariate experiments.
Develop advanced algorithms, execute statistical and data mining techniques, evaluate emerging datasets and technologies, contribute to thought leadership, possess strong communication and problem-solving skills.
Build next-generation Large Language Models for Enterprise Language Generation at ServiceNow. Use AI/ML expertise to solve real-world challenges and collaborate with a team of developers and scientists to deliver high-quality solutions to users.
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Looking for a Sr. Manager, Experimentation Science to lead a team of data scientists and analysts in hypothesis-based experimentation and data-driven decision making for in-app and signup experiences. Must have expertise in statistics, data science, experimental design, and AB testing. Responsible for increasing user engagement, retention, and customer signup through analysis and experimentation.
Senior Data Scientist specializing in Product and Display Ads at Gopuff, responsible for developing advanced algorithms and models for ad recommendations, smart bidding, and budgeting. Collaborates with cross-functional teams to enhance the advertising technology roadmap and customer shopping experience. Requires MS or Ph.D. and 3-5 years of hands-on experience in AdTech with strong problem-solving skills.
Security Governance Partner for Cash App Machine Learning and Data Science. Act as a security domain expert, collaborate with various teams, automate governance and compliance functions, drive risk decisions, develop security standards, and monitor security and privacy-related laws and regulations.
The Applied Scientist III will design, develop, and implement machine learning models for various applications, as well as research and implement state-of-the-art algorithms. They will also collaborate with cross-functional teams and provide technical guidance.
The successful candidate will be responsible for leveraging their data science background to drive compliance monitoring data analytics initiatives.
Develop quantitative/machine learning models to forecast product losses, analyze complex datasets, investigate external credit data, automate models and dashboards, communicate loss expectations, and collaborate with various teams.
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Seeking a Senior Applied Research Scientist to join the Freight Planning Team with a focus on Ocean Planning. Responsibilities include collaborating with cross-functional teams, leading large-scale planning optimization solutions, conducting research, and delivering data-driven solutions using advanced Operations Research and Machine Learning methods.
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